DocumentCode :
1745652
Title :
AVENUE: Automated site modeling in urban environments
Author :
Allen, Peter ; Stamos, Ioannis ; Gueorguiev, Atanas ; Gold, Ethan ; Blaer, Paul
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear :
2001
fDate :
2001
Firstpage :
357
Lastpage :
364
Abstract :
This paper is an overview of the AVENUE project at Columbia University. AVENUE´s main goal is to automate the site modeling process in urban environments. The first component of AVENUE is a 3-D modeling system which constructs complete 3-D geometric models with photometric texture mapping acquired from different viewpoints. The second component is a planning system that plans the Next-Best-View for acquiring a model of the site. The third component is a mobile robot we have built that contains an integrated sensor suite for automatically performing the site modeling task. We present results for modeling buildings in New York City
Keywords :
image reconstruction; image registration; mobile robots; 3-D geometric models; 3-D modeling system; Next-Best-View; photometric texture mapping; site modeling; urban environments; Buildings; Cities and towns; Geometry; Gold; Graphics; Layout; Mobile agents; Photometry; Solid modeling; Urban planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on
Conference_Location :
Quebec City, Que.
Print_ISBN :
0-7695-0984-3
Type :
conf
DOI :
10.1109/IM.2001.924477
Filename :
924477
Link To Document :
بازگشت